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Daily FX volatility forecasts : can the GARCH (1,1) model be beaten using high-frequency data?
McMillan, David G.; Speight, Alan E. H. - In: Journal of forecasting 31 (2012) 4, pp. 330-343
Persistent link: https://www.econbiz.de/10009576375
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Do extreme range estimators improve realized volatility forecasts? : evidence from G7 Stock Markets
Korkusuz, Burak; Kambouroudis, Dimos; McMillan, David G. - In: Finance research letters 55 (2023) 2, pp. 1-7
Persistent link: https://www.econbiz.de/10014473523
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Forecasting realised volatility : does the LASSO approach outperform HAR?
Ding, Yi; Kambouroudis, Dimos; McMillan, David G. - In: Journal of international financial markets, … 74 (2021), pp. 1-17
Persistent link: https://www.econbiz.de/10012803163
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Do Extreme Range Estimators Improve Realized Volatility Forecasts? Evidence from G7 Stock Markets
Korkusuz, Burak; Kambouroudis, Dimos S; McMillan, David G. - 2023
We investigate whether range-based estimators contain information in forecasting realized volatility within a HAR … findings suggest that while no single model dominates, overnight return volatility achieves the most consistency. For example …, forecasts for CAC and DAX indices are improved only by overnight volatility, with some evidence also for SPX. For other indices …
Persistent link: https://www.econbiz.de/10014257261
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Is there an ideal in-sample length for forecasting volatility?
Kambouroudis, Dimos S.; McMillan, David G. - In: Journal of international financial markets, … 37 (2015), pp. 114-137
Persistent link: https://www.econbiz.de/10011475043
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Does the macroeconomy predict UK asset returns in a nonlinear fashion? : comprehensive out-of-sample evidence
Guidolin, Massimo; Hyde, Stuart; McMillan, David G.; … - 2010
Persistent link: https://www.econbiz.de/10008668600
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Does the macroeconomy predict UK asset returns in an nonlinear fashion? : comprehensive out-of-sample evidence
Guidolin, Massimo; Hyde, Stuart; McMillan, David G.; … - 2010
We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...
Persistent link: https://www.econbiz.de/10008990694
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Does the macroeconomy predict UK asset returns in a nonlinear fashion? : comprehensive out-of-sample evidence
Guidolin, Massimo; Hyde, Stuart; McMillan, David G.; … - In: Oxford bulletin of economics and statistics 76 (2014) 4, pp. 510-535
Persistent link: https://www.econbiz.de/10010474888
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Stock return predictability : using the cyclical component of the price ratio
McMillan, David G. - In: Research in international business and finance 48 (2019), pp. 228-242
Persistent link: https://www.econbiz.de/10012135904
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Does non-linearity help us understand, model and forecast UK stock and bond returns : evidence from the BEYR
McMillan, David G. - In: International review of applied economics 26 (2012) 1, pp. 125-143
Persistent link: https://www.econbiz.de/10009419538